September 2019
Beginner
236 pages
5h 33m
English
Chapter 13: Binary Logistic Regression
Running a Binary Logistic Regression Model with a Single Predictor Variable
A Discussion about Odds Ratios
Editing SAS Studio-Generated Code
Using a Continuous Variable as a Predictor in a Logistic Model
Running a Model with Three Classification Variables
Introduction
In the last chapter, you learned how to create multiple regression models. Conceptually, logistic regression has some similarities to multiple regression, although the computational method (maximum likelihood) is quite different (and CPU-intensive). Multiple regression uses a set of predictor variables to predict and model a continuous outcome variable. Binary logistic ...